Stack we ship with
Capabilities
Built for teams shipping AI as a product feature
Most products don’t need another chatbot demo. They need AI wired into real workflows—search, drafting, support, ops, and custom tools—without leaking keys or breaking the stack you already run.
AI features inside your product
Embed model-powered flows into existing web apps and frameworks: assistants, summarization, classification, generation, and guided workflows that feel native—not bolted on.
Designed for product teams shipping AI as a feature, not a separate product.
Model API integration
Server-side wiring for Gemini, Anthropic, OpenAI-compatible APIs, and more: auth, streaming, retries, rate limits, and structured outputs that fit your backend.
From first working path to production traffic—without keys in the browser.
Secure prompt & key layer
Prompts, tools, and credentials stay on the backend. Your IP and secrets stay vaulted while the app surfaces only what users need.
A practical security layer for teams treating prompts and orchestration as product IP.
End-to-end delivery
UI, API routes, evaluation hooks, and handoff docs—scoped so you can ship a reliable AI integration in weeks, then iterate with us or your team.
Prototypes that graduate into ongoing product work.
Selected work
AI integrated into real products
SaaS product · 2025 · Native to the product UI
In-app AI assistant for support workflows
Integrated a model-backed assistant into an existing web app: ticket context, suggested replies, and actions—wired through a secure backend so keys and system prompts never reached the client.
- Next.js
- Gemini API
- Node.js
- TypeScript
Custom framework · 2025
LLM bridge for a proprietary app shell
Connected a custom frontend to secure API routes that run prompts and tools server-side, returning structured results the app could render without exposing orchestration logic.
- API Integration
- Full-stack
- Prompt Engineering
Internal tools · 2024
Document Q&A inside an ops dashboard
Added retrieval-assisted answers to an internal dashboard: upload, index, ask—with rate limits, audit-friendly logging, and env-managed credentials.
- RAG
- Backend
- Cloudflare Workers
Product team · 2024
Streaming generation with production guardrails
Shipped streaming responses in a React UI with server quotas, graceful failures, and prompt templates versioned on the backend.
- React
- Streaming
- Gemini API
Agency delivery · 2023–2025
AI feature slice in under 90 days
Scoped full-stack delivery: discovery to integrated AI feature with documented APIs, env setup, and a handoff the client team could operate or extend.
- Prototyping
- Full-stack
- Documentation
Services
What we build
A studio for integrating AI into web apps: model APIs, secure prompt backends, and product surfaces that make the feature feel native.
- 1
AI feature integration
Add model-powered capabilities to your existing app—assistants, automation, content tools, and domain workflows that match your UX.
- 2
Model & API wiring
Connect Gemini and other LLM APIs with correct auth, streaming, structured outputs, and production-minded error handling.
- 3
Secure backend for prompts & keys
Keep system prompts, tools, and API keys server-side so users and competitors can’t pull them from the client.
- 4
Ongoing AI product builds
Iterate after the first ship: more surfaces, better prompts, evals, and safeguards as usage grows.
Studio
AI integration with product-grade engineering
Prompt Vault helps teams put AI into the apps they already run. We wire models into real workflows, keep prompts and keys on the backend, and ship UI that feels like part of the product—not a side experiment.
- 01
AI belongs inside the product—not as a disconnected demo
- 02
Keys and prompts stay on the server by default
- 03
Integrations respect your existing stack and UX
- 04
Clear ownership from UI through the API to the model
Contact
Let's put AI into your app
Share your product, stack, and the AI feature you want. We reply within one business day.
hello@promptvaulthq.com